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before the fellowship decision date. Documented experience in research projects within the scope of the awarded degree. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python
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qualifications. The project scope, research questions, and methods will be tailored to the successful candidate’s skills and interests. You will play an active role in shaping your PhD project as part of
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collaboration with leading experts. With us, you will be part of a dynamic and interdisciplinary research environment, with ample opportunities for both scientific and social engagement throughout the academic
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are eager to carry out research on statistical issues related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools
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applying SWAN and XBeach models to coastal areas (0-4 points); Publications on coastal dynamics of sandy areas, within the scope of the topics mentioned above (0-6 points). 9. The evaluation process may
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. The position involves work in protein purification and structure characterization. Terms of employment are for one year, with a possibility of renewal. Unit URL https://www.uidaho.edu/agricultural-life-sciences
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-resolution, high-speed, and deep 3D quantitative imaging. In collaboration with the Department of Clinical Medicine (UiT), the system will be evaluated for dynamic imaging of cardiac activity in engineered
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Overview: Based in Barcelona, in a collaborative and dynamic international team Experienced computational modeler / mechanical engineer Full-time, continuing role The Postdoctoral Fellow will be
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January 21, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date January 31, 2027 Expected salary range: $65,000–$75,000 CAD per annum, commensurate with experience
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for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods